Additional file 10: of Gsslasso Cox: a Bayesian hierarchical model for predicting survival and detecting associated genes by incorporating pathway information
收藏Figshare2019-02-28 更新2026-04-08 收录
下载链接：
https://springernature.figshare.com/articles/Additional_file_10_of_Gsslasso_Cox_a_Bayesian_hierarchical_model_for_predicting_survival_and_detecting_associated_genes_by_incorporating_pathway_information/7782029/1
下载链接
链接失效反馈官方服务：
资源简介：
S4, S5 and S6. The pathway enrichment analyses for these detected genes for ovarian cancer, lung cancer and breast cancer, respectively. (ZIP 15 kb)
提供机构：
Yueping Shen; Xinyan Zhang; Zaixiang Tang; Boyi Guo; Zixuan Yi; Nengjun Yi; Shufeng Lei
创建时间：
2019-02-28
